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Related Concept Videos

Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
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Behavior of Concrete Under Compressive Load01:23

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Concrete exhibits specific behaviors under different compressive loads. Understanding this is crucial for understanding its structural integrity. When concrete undergoes uniaxial compression, it tends to develop cracks that run parallel to the direction of the force. These parallel cracks stem from localized tensile stresses that occur perpendicular to the compression direction. Additionally, angled cracks may appear due to the formation of shear planes.
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Load-frequency control01:28

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Feedback Inhibition00:46

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Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
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In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
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Effects of feedback01:24

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Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
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Control of Eating Behavior Using a Novel Feedback System
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Computational evaluation of TKR stability using feedback-controlled compressive loading.

Irene Sintini1,2, Clare K Fitzpatrick1, Chadd W Clary1,3

  • 1Center for Orthopaedics Biomechanics, University of Denver, Denver, Colorado.

Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society
|February 3, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to assess total knee replacement stability by measuring the compressive force needed for natural joint stability. Lower constraint designs require significantly more force to achieve natural knee stability compared to higher constraint designs.

Keywords:
compressive loadfinite element modelingstabilitytotal knee replacement

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Area of Science:

  • Orthopedics
  • Biomechanics
  • Biomedical Engineering

Background:

  • Total knee replacement (TKR) patients often experience joint instability.
  • The body uses quadriceps-hamstring co-contraction to enhance joint stability via compressive force.
  • Evaluating TKR stability pre-clinically is vital for implant development.

Purpose of the Study:

  • To introduce a novel method for evaluating TKR stability.
  • To determine the compressive loading necessary for natural knee stability in TKR.
  • To compare stability requirements across different TKR designs.

Main Methods:

  • Finite-element modeling of four TKR geometries (cruciate-retaining and posterior-stabilized).
  • Experimental validation of the finite-element model using traditional knee laxity testing.
  • Interfacing the model with a feedback controller to adjust compressive force for natural kinematics.

Main Results:

  • Model predictions showed reasonable agreement with experimental laxity testing.
  • Lower constraint TKR designs required 66.7% more compressive load on average to match natural knee constraint.
  • TKR stability and load requirements varied with the inclusion of tibiofemoral ligaments.

Conclusions:

  • The study presents a novel approach for evaluating TKR stability.
  • This method can inform the design of TKR implants that better replicate natural knee mechanics.
  • Compressive load is a critical factor in achieving stability in total knee replacements.